Н. Л. Туманова

594 total citations
52 papers, 451 citations indexed

About

Н. Л. Туманова is a scholar working on Pediatrics, Perinatology and Child Health, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Н. Л. Туманова has authored 52 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pediatrics, Perinatology and Child Health, 17 papers in Cellular and Molecular Neuroscience and 17 papers in Developmental Neuroscience. Recurrent topics in Н. Л. Туманова's work include Neuroscience and Neuropharmacology Research (15 papers), Anesthesia and Neurotoxicity Research (14 papers) and Neonatal and fetal brain pathology (11 papers). Н. Л. Туманова is often cited by papers focused on Neuroscience and Neuropharmacology Research (15 papers), Anesthesia and Neurotoxicity Research (14 papers) and Neonatal and fetal brain pathology (11 papers). Н. Л. Туманова collaborates with scholars based in Russia, United Kingdom and France. Н. Л. Туманова's co-authors include И. А. Журавин, D. S. Vasilev, N. М. Dubrovskaya, Aleksey V. Zaitsev, Л. Г. Магазаник, Natalia N. Nalivaeva, М. Г. Белехова, А. V. Arutjunyan, G. P. Vlasov and Maria Bryszewska and has published in prestigious journals such as The Journal of Comparative Neurology, Current Medicinal Chemistry and Cells.

In The Last Decade

Н. Л. Туманова

48 papers receiving 444 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Н. Л. Туманова Russia 12 163 156 131 65 64 52 451
Petra Mazzocchetti Italy 12 252 1.5× 159 1.0× 140 1.1× 172 2.6× 86 1.3× 15 621
В. В. Гусельникова Russia 7 121 0.7× 188 1.2× 19 0.1× 41 0.6× 72 1.1× 43 499
Michael Neystat United States 7 445 2.7× 214 1.4× 28 0.2× 126 1.9× 134 2.1× 8 841
Noémie Cresto France 7 191 1.2× 181 1.2× 40 0.3× 83 1.3× 53 0.8× 15 545
Jesús Machado‐Salas Mexico 11 188 1.2× 137 0.9× 111 0.8× 223 3.4× 71 1.1× 15 547
I. Yu. Popova Russia 12 200 1.2× 127 0.8× 34 0.3× 88 1.4× 103 1.6× 33 448
Donald Dassesse Belgium 13 264 1.6× 217 1.4× 36 0.3× 71 1.1× 27 0.4× 17 440
Dayao Zhao United States 10 248 1.5× 385 2.5× 51 0.4× 87 1.3× 39 0.6× 13 700
Lindsay H. Levkoff United States 6 161 1.0× 178 1.1× 80 0.6× 27 0.4× 167 2.6× 7 747
Darrell A. Jackson United States 13 222 1.4× 173 1.1× 86 0.7× 9 0.1× 81 1.3× 23 473

Countries citing papers authored by Н. Л. Туманова

Since Specialization
Citations

This map shows the geographic impact of Н. Л. Туманова's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Н. Л. Туманова with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Н. Л. Туманова more than expected).

Fields of papers citing papers by Н. Л. Туманова

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Н. Л. Туманова. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Н. Л. Туманова. The network helps show where Н. Л. Туманова may publish in the future.

Co-authorship network of co-authors of Н. Л. Туманова

This figure shows the co-authorship network connecting the top 25 collaborators of Н. Л. Туманова. A scholar is included among the top collaborators of Н. Л. Туманова based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Н. Л. Туманова. Н. Л. Туманова is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Postnikova, Tatyana Y., et al.. (2025). Prenatal Hyperhomocysteinemia Leads to Synaptic Dysfunction and Structural Alterations in the CA1 Hippocampus of Rats. Biomolecules. 15(2). 305–305. 1 indexed citations
2.
Vasilev, D. S., et al.. (2024). Valproate Administration to Adult 5xFAD Mice Upregulates Expression of Neprilysin and Improves Olfaction and Memory. Journal of Molecular Neuroscience. 74(4). 110–110.
3.
4.
Postnikova, Tatyana Y., Dmitry V. Amakhin, Н. Л. Туманова, et al.. (2022). Maternal Hyperhomocysteinemia Produces Memory Deficits Associated with Impairment of Long-Term Synaptic Plasticity in Young Rats. Cells. 12(1). 58–58. 9 indexed citations
5.
Dubrovskaya, N. М., et al.. (2022). Prenatal Hypoxia Impairs Olfactory Function in Postnatal Ontogeny in Rats. Neuroscience and Behavioral Physiology. 52(2). 262–270. 2 indexed citations
6.
7.
Vasilev, D. S., et al.. (2020). Maternal Hyperhomocysteinemia Induces Neuroinflammation and Neuronal Death in the Rat Offspring Cortex. Neurotoxicity Research. 38(2). 408–420. 20 indexed citations
8.
Vasilev, D. S., et al.. (2020). Пренатальная гипоксия приводит к нарушению формирования нервной ткани энторинальной области коры мозга крыс. Российский физиологический журнал им  И  М  Сеченова. 106(10). 1278–1288. 1 indexed citations
9.
10.
Vasilev, D. S., et al.. (2018). Transient Morphological Alterations in the Hippocampus After Pentylenetetrazole-Induced Seizures in Rats. Neurochemical Research. 43(8). 1671–1682. 37 indexed citations
11.
Vasilev, D. S., N. М. Dubrovskaya, Н. Л. Туманова, & И. А. Журавин. (2016). Prenatal Hypoxia in Different Periods of Embryogenesis Differentially Affects Cell Migration, Neuronal Plasticity, and Rat Behavior in Postnatal Ontogenesis. Frontiers in Neuroscience. 10. 126–126. 35 indexed citations
12.
Dubrovskaya, N. М., et al.. (2015). Role of caspase-3 in regulation of the amyloid-degrading neuropeptidase neprilysin level in the rat cortex after hypoxia. Journal of Evolutionary Biochemistry and Physiology. 51(6). 480–484. 7 indexed citations
13.
Журавин, И. А., N. М. Dubrovskaya, D. S. Vasilev, et al.. (2015). Role of caspase-3 in development of neuronal plasticity and memory. SpringerPlus. 4(S1). 3 indexed citations
14.
Zaitsev, Aleksey V., et al.. (2014). N‐methyl‐D‐aspartate receptor channel blockers prevent pentylenetetrazole‐induced convulsions and morphological changes in rat brain neurons. Journal of Neuroscience Research. 93(3). 454–465. 49 indexed citations
15.
Журавин, И. А., et al.. (2009). Structural changes of the hippocampus nervous tissue in rat ontogenesis after prenatal hypoxia. Journal of Evolutionary Biochemistry and Physiology. 45(1). 156–158. 5 indexed citations
16.
Журавин, И. А., et al.. (2007). [Formation of structural and ultrastructural organization of striatum rat postnatal ontogenesis upon changes in their embryonal development].. PubMed. 43(2). 194–203. 1 indexed citations
17.
Журавин, И. А., et al.. (2006). Formation of the structural and ultrastructural organization of the striatum in early postnatal ontogenesis of rats in altered conditions of embryonic development. Neuroscience and Behavioral Physiology. 36(5). 473–478. 5 indexed citations
18.
Журавин, И. А., et al.. (2003). Disturbances in Formation of the New and Old Cortex at Changes of Conditions of Embryonic Development. Journal of Evolutionary Biochemistry and Physiology. 39(6). 752–763. 2 indexed citations
19.
Кенигфест, Н. Б., J Repérant, J.P. Rio, et al.. (1995). Fine structure of the dorsal latreral geniculate nucleus of the turtle, Emys orbicularis: A Golgi, combined hrp tracing and GABA immunocytochemical study. The Journal of Comparative Neurology. 356(4). 595–614. 16 indexed citations
20.
Туманова, Н. Л., et al.. (1974). [Electron microscopic study of degenerative changes in the nucleus globosus of the turtle Emys orbicularis following tectectomy].. PubMed. 10(3). 315–7. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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